Description
In recent years, GM Information Technology has successfully executed the largest IT transformation in the history of the automotive industry, fully insourcing what once was a nearly completely outsourced IT function. Today GM IT is a dynamic and fast paced organization that designs, develops and maintains all IT infrastructure, applications and solutions enabling GM's global operations. From designing and building the next generation of electric and other vehicles to developing a world-class GM experience for our dealers and customers, GM IT is driving real change in the most iconic automaker on the planet. Our team delivers unique enterprise-wide IT solutions in cutting-edge technologies such as mobility, telematics, mission-critical business systems, supercomputing, cloud, vehicle engineering and real-time computing. We offer challenging positions for passionate professionals looking to advance their careers and be a part of an IT organization focused on innovation, speed and business value.
This role offers the following Work Appropriately strategy:

• This is a Hybrid position within our IT Organization. The role will allow employees to work offsite but will also require onsite work based on business needs. The selected candidate will be expected to commute to the innovation center to which they are assigned as their primary GM facility. Relocation may be provided.

Locations: Austin, TX, Detroit, MI, or Atlanta, GA
As a Senior Data Scientist, you will be in applying Data Science and Modeling techniques to solve complex business problems. Are you driven and passionate about data analytics and data sciences? Can you lead with our vision for the future? Come be part of an industry whose vision is to change the future of mobility.
This is an opportunity to leverage your data analytics and data science skills focused on delivering emerging and advanced analytics across the Finance / GBS /Corporate Functions organization. The candidate will have prior hands-on design and development experience in using Data Science technologies to provide business value. The individual will possess expertise in big data as well as a passion for driving the organization up the analytics curve. The individual will also possess experience in business engagement, data storytelling, data manipulation and data profiling. The candidate will be ready for new technical challenges and direct business engagement.
Additional Description
Responsibilities:

• Engage with business leadership in support of advanced analytics
• Propose solutions and strategies to business challenges in order to drive business impact
• Build predictive data science models and machine-learning algorithms
• Analyze large amounts of information to discover trends and patterns
• Undertake preprocessing of structured and unstructured data to derive actionable insights
• Monitor and sustain effectiveness of predictive data science models
• Combine predictive data science models through ensemble modeling
• Present complex information using data visualization techniques

Minimum Qualifications:

• 3+ years of data science development experience
• 3+ years of Hands-on experience in one language such as Python, R, Spark Scala and understand their limitations
• Experience in one or more advanced analytical methodologies such as numerical optimization, econometric modeling and forecasting, machine learning and text analytics
• Expertise in data visualization, data storytelling, data acquisition, data manipulation
• Collaborative work style with good listening and communication skills, and the ability to work closely and iteratively with business subject matter experts, and other IT teams
• Ability to work in a multi-site team to deliver innovation
• Ability to be proactive and responsive to day-to-day issues while maintaining strong sense of urgency and focus on delivery
• Ability to effectively communicate messages to IT and business partners

Preferred Qualifications:

• Experience with Data Science implementations in finance functions
• Experience with agile project methodologies
• Experience in data query tools (ex. SQL)
• Experience in data visualization tools such as Power BI or Tableau
• Experience with large-scale database platforms (i.e. Hadoop, Teradata, Oracle, Postgres)

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;• Company and matching contributions to 401K savings plan to help you save for retirement;• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; • Tuition assistance and student loan refinancing;• Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity (EEO) Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at [email protected] . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.